Evidence map›Paper›PMID 31061459›Full record

ArticleNature biomedical engineering2019

A microfluidic assay for the quantification of the metastatic propensity of breast cancer specimens.

Christopher L Yankaskas, Keyata N Thompson, Colin D Paul, Michele I Vitolo, Panagiotis Mistriotis, Ankit Mahendra, Vivek K Bajpai, Daniel J Shea, Kristen M Manto, Andreas C Chai and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Nature biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cell-nanoplastics association impacts cell proliferation and motility.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Review
  10. 3D bioprinting innovations: a new frontier in breast cancer research.Medical oncology (Northwood, London, England) · 2025
    Review
  11. The Rise of Mechanobiology for Advanced Cell Engineering and Manufacturing.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Impact of Nanomedicine in Women's Metastatic Breast Cancer.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review

22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Christopher L YankaskasDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Keyata N ThompsonMarlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Colin D PaulDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Michele I VitoloMarlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Panagiotis MistriotisDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8069-3278
Ankit MahendraDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6664-5974
Vivek K BajpaiDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA, USA.
Daniel J SheaDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Kristen M MantoDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Andreas C ChaiDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8651-0164
Navin VaradarajanDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.
Aikaterini Kontrogianni-KonstantopoulosMarlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Stuart S MartinMarlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Konstantinos KonstantopoulosDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA. konstant@jhu.edu.ORCID http://orcid.org/0000-0003-2623-1459

Funding

The Role of Physical Cues in Collective Cell InvasionU54CA210173 · NCI · JOHNS HOPKINS UNIVERSITY · PI PIENTA, KENNETH J., WIRTZ, DENIS · 2016 to 2020
$9.9M
Development of high throughput screening technologies in breast cancerR01CA183804 · NCI · JOHNS HOPKINS UNIVERSITY · PI KONSTANTOPOULOS, KONSTANTINOS, KONTROGIANNI-KONSTANTOPOULOS, AIKATERINI · 2015 to 2019
$3.5M
Targeting microtubule stabilization to reduce breast tumor metastasisR01CA154624 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARTIN, STUART S · 2012 to 2023
$3.4M
A novel microfluidic device to predict brain cancer prognosis and response to therapyR01CA216855 · NCI · MAYO CLINIC JACKSONVILLE · PI KONSTANTOPOULOS, KONSTANTINOS, QUINONES-HINOJOSA, ALFREDO · 2018 to 2022
$2.4M
Quantitative single-cell biomarkers of T-cells to optimize tumor immunotherapyR01CA174385 · NCI · UNIVERSITY OF HOUSTON · PI COOPER, LAURENCE J.N., VARADARAJAN, NAVIN · 2012 to 2015
$2.1M
PTEN loss increases efficiency of breast tumor metastasisK01CA166576 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI VITOLO, MICHELE I · 2013 to 2017
$524k
NCI NIH HHS K01 CA166576NCI NIH HHS R01 CA154624NCI NIH HHS R01 CA174385NCI NIH HHS R01 CA183804NCI NIH HHS R01 CA216855NCI NIH HHS U54 CA210173
6 · The paper itself

Abstract

The challenge of predicting which patients with breast cancer will develop metastases leads to the overtreatment of patients with benign disease and to the inadequate treatment of aggressive cancers. Here, we report the development and testing of a microfluidic assay that quantifies the abundance and proliferative index of migratory cells in breast cancer specimens, for the assessment of their metastatic propensity and for the rapid screening of potential antimetastatic therapeutics. On the basis of the key roles of cell motility and proliferation in cancer metastasis, the device accurately predicts the metastatic potential of breast cancer cell lines and of patient-derived xenografts. Compared with unsorted cancer cells, highly motile cells isolated by the device exhibited similar tumourigenic potential but markedly increased metastatic propensity in vivo. RNA sequencing of the highly motile cells revealed an enrichment of motility-related and survival-related genes. The approach might be developed into a companion assay for the prediction of metastasis in patients and for the selection of effective therapeutic regimens.

Indexed as

AnimalsBreast NeoplasmsCarcinogenesisCell Line, TumorCell MovementClinical Trials as TopicEpithelial CellsFemaleGenotypeHumansMice, NudeMicrofluidicsMutationNeoplasm InvasivenessNeoplasm MetastasisPhenotype

Identifiers

PMID31061459
PMCPMC6563615

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.